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For Companies At a Glance
- Tasks: Design and develop cutting-edge models to understand human behaviour using NLP techniques.
- Company: Join a London-based defence-tech startup focused on using AI for social good.
- Benefits: Enjoy remote work flexibility and the chance to impact critical projects.
- Why this job: Be part of a team that predicts threats and analyses public perception, making a real difference.
- Qualifications: 4 years in data science with a focus on NLP; strong Python skills required.
- Other info: Collaborate with diverse teams and work on high-impact projects in a fast-growing environment.
The predicted salary is between 48000 - 72000 £ per year.
We are a defence-tech startup from London that specializes in technologies that can analyze social data with the power of AI and psychology to generate insights and intelligence that were not possible before. The company was founded on the premise that data can be used for social good and with our technology, we are building the capability to predict potential threats to companies or analyze public perception on various policies or initiatives and much more. We are currently focusing on a variety of key projects within Defence as we see tremendous possibility to impact operational planning within the sector. As a company handling heavy and critical data, we believe this is a perfect time for a Machine Learning Engineer to join our team.
Who are we looking for?
We are looking for a Machine Learning Engineer to enhance our platform by designing and developing cutting-edge models to understand human behaviour.
Key Responsibilities
- Support research team to productionize scalable NLP models using state-of-the-art techniques and frameworks
- Stay up-to-date with the latest advancements in NLP and machine learning, and apply new methodologies to improve existing models
- Deploy data science models on scalable AWS cloud infrastructures, ensuring best practices for security and performance
- Assist in Infrastructure as Code initiatives using Terraform
- Write clean, maintainable Python code for data science software, ensuring high standards of code quality and maintainability
- Continuously monitor and improve the performance of data science models in production
- Work closely with cross-functional teams including behavioral scientists, data scientists, software engineers, and product managers to deliver end-to-end solutions
Relevant Experience & Mindset:
- 4 years of experience in developing data science models, including NLP models, and deploying them in a production environment
- Bachelor's degree in computer science, data science, mathematics, statistics, engineering or related field
- Proficiency in writing clean, robust, and scalable Python packages for backend functionality
- Experience with Python data science and NLP libraries
- Expertise in software development practices such as version control, code review, software design patterns, and CI/CD practices and tools
- Experience of cloud computing platforms such as AWS, with knowledge of services like ECS, S3, and Lambda
- Experience with containerisation technologies e.g. Docker
- Experience of working with SQL or NoSQL databases
- Team player who is proactive and resilient
- A passion for social good
If you're looking for a venture with high impact and rapid growth with remote flexibility, please apply.
Contact Detail:
Stealth Startup Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in NLP and machine learning. Follow relevant blogs, attend webinars, or join online communities to stay updated. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Showcase your experience with AWS and containerisation technologies like Docker. If you have personal projects or contributions to open-source that highlight these skills, be ready to discuss them. Practical examples can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the defence-tech sector. Attend industry meetups or connect with people on LinkedIn who work in similar roles. Building relationships can lead to valuable insights and potential referrals for the position.
✨Tip Number 4
Prepare to discuss how your work can contribute to social good. Given the company's mission, having a clear understanding of how your skills can impact operational planning in defence will resonate well with the hiring team.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and NLP. Focus on projects where you've developed and deployed models, especially in production environments.
Craft a Compelling Cover Letter: In your cover letter, express your passion for social good and how your skills align with the company's mission. Mention specific technologies or methodologies you’ve used that relate to the job description.
Showcase Your Technical Skills: Include specific examples of your proficiency in Python, AWS, and any relevant libraries. If you've worked with Terraform or Docker, make sure to mention these experiences as they are crucial for the role.
Highlight Team Collaboration: Since the role involves working closely with cross-functional teams, provide examples of past collaborations. Emphasise your ability to work with behavioural scientists, data scientists, and software engineers to deliver successful projects.
How to prepare for a job interview at Stealth Startup
✨Showcase Your Technical Skills
Be prepared to discuss your experience with NLP models and Python programming. Bring examples of projects you've worked on, especially those that demonstrate your ability to deploy models in a production environment.
✨Understand the Company's Mission
Familiarise yourself with the company's focus on social good and how AI can be used for defence applications. This will help you align your answers with their values and show your genuine interest in their work.
✨Prepare for Behavioural Questions
Expect questions about teamwork and resilience, as they value a proactive team player. Think of specific examples from your past experiences that highlight these qualities.
✨Ask Insightful Questions
Prepare thoughtful questions about their current projects and future goals. This shows your enthusiasm for the role and helps you gauge if the company is the right fit for you.
